Development of decoding method to infer visual imagery using ECoG signals
Project/Area Number |
26560467
|
Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
Allocation Type | Multi-year Fund |
Research Field |
Brain biometrics
|
Research Institution | Osaka University |
Principal Investigator |
|
Co-Investigator(Kenkyū-buntansha) |
KISHIMA Haruhiko 大阪大学, 大学院医学系研究科, 講師 (10332743)
|
Co-Investigator(Renkei-kenkyūsha) |
KAMITANI Yukiyasu 株式会社国際電気通信基礎技術研究所, 脳情報研究所, 室長 (50418513)
|
Project Period (FY) |
2014-04-01 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
|
Keywords | Decoding / ECoG / MEG / Visual perception / Visual imagery / 想起画像推定 / BMI / 想起画像再構成 / 皮質脳波 / Brain-machine interface / ビックデータ / 脳磁図 |
Outline of Final Research Achievements |
The aim of this study is to develop a novel method to infer the semantic contents of the visual perception and visual imagery from the ECoG signals and MEG signals. We recorded both of the ECoG and MEG signals while the subjects were watching the images of 3 or 9 categories. The developed decoding method successfully inferred the categories from the ECoG or MEG signals. Moreover, the same decoding method successfully inferred the semantic contents of the visual imagery which the subject imagined freely. These results are expected to be applied for the severely paralyzed patients to improve their communication ability and the quality of their lives.
|
Report
(3 results)
Research Products
(19 results)
-
-
-
-
[Journal Article] Real-Time Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals from Paralysed Patients2016
Author(s)
Fukuma R, Yanagisawa T*, Saitoh Y, Hosomi K, Kishima H, Shimizu T, Sugata H, Yokoi H, Hirata M, Kamitani Y, Yoshimine T
-
Journal Title
Scientific Reports
Volume: 6
Issue: 1
Pages: 21781-21781
DOI
NAID
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
-
-
-
-
-
-
[Presentation] ECoG BMI for paralyzed patients2015
Author(s)
Takufumi Yanagisawa
Organizer
Melbourne Symposium On Brain Computer Interfaces and Rehabilitation
Place of Presentation
Melbourne Brain Center, Australia
Year and Date
2015-10-21
Related Report
Int'l Joint Research / Invited
-
-
-
-
-
-
-
-
-